[HTML][HTML] Suicide ideation detection from online social media: A multi-modal feature based technique
According to an estimate of World Health Organization, each year approximately 700,000
people die by suicide, with many more contemplating suicide. Early detection of suicidal …
people die by suicide, with many more contemplating suicide. Early detection of suicidal …
Combination of GRU and CNN deep learning models for sentiment analysis on French customer reviews using XLNet model
Sentiment analysis is the task of detecting opinions of people from text using techniques of
natural language processing. It is critical in assisting businesses in actively improving their …
natural language processing. It is critical in assisting businesses in actively improving their …
[PDF][PDF] Feature based depression detection from twitter data using machine learning techniques
The statistics presented by the World Health Organization attribute depression to be a
primary cause of concern globally, leading to suicide in the majority of the cases if left …
primary cause of concern globally, leading to suicide in the majority of the cases if left …
[PDF][PDF] A novel hybrid network for Arabic sentiment analysis using fine-tuned AraBERT model
The pre-trained word embedding models become widely used in Natural Language
Processing (NLP), but they disregard the context and sense of the text. We study in this …
Processing (NLP), but they disregard the context and sense of the text. We study in this …
Suicide ideation detection using multiple feature analysis from Twitter data
M Chatterjee, P Samanta, P Kumar… - 2022 IEEE Delhi …, 2022 - ieeexplore.ieee.org
According to the World Health Organization, over 700,000 people die by suicide each year,
with many more attempting suicide. Two of the most effective approaches to prevent suicide …
with many more attempting suicide. Two of the most effective approaches to prevent suicide …
A transformer-based generative adversarial learning to detect sarcasm from Bengali text with correct classification of confusing text
Sarcasm detection research in Bengali is still limited due to a lack of relevant resources. In
this context, getting high-quality annotated data is costly and time-consuming. Therefore, in …
this context, getting high-quality annotated data is costly and time-consuming. Therefore, in …
LSTM-CNN deep learning model for french online product reviews classification
Sentiment analysis (SA) is one of the most popular areas for analyzing and discovering
insights from text data from various sources, including Facebook, Twitter, and Amazon. It …
insights from text data from various sources, including Facebook, Twitter, and Amazon. It …
An enhanced transformer-based approach with meta-ensemble learning for arabic sentiment analysis
M Ashraf, M Marzouk, R Kora… - … Mobile, Intelligent, and …, 2023 - ieeexplore.ieee.org
Sentiment analysis represents a fundamental task in natural language processing (NLP)
critical for extracting and analyzing emotions and opinions represented in textual data. The …
critical for extracting and analyzing emotions and opinions represented in textual data. The …
A two-level multi-modal analysis for depression detection from online social media
Abstract According to World Health Organization statistics, depression is a prominent cause
of concern worldwide, leading to suicide in the majority of these cases if left untreated …
of concern worldwide, leading to suicide in the majority of these cases if left untreated …
Feature-based suicide-ideation detection from Twitter data using machine learning techniques
Mental health is an important and highly debated topic for any generation, and it is
becoming increasingly prominent globally. This condition can be influenced by a number of …
becoming increasingly prominent globally. This condition can be influenced by a number of …